Using big data to find better treatments for peripheral artery disease in patients with chronic kidney disease
Official title: Harnessing Big Data to Identify Effective Peripheral Artery Disease Treatments in Chronic Kidney Disease
Funded at Stanford University · NIH-11045010 · Data updated 2026-11-12
This study is looking at how we can use large amounts of health data to find better treatments for people with peripheral artery disease (PAD) who also have chronic kidney disease (CKD), aiming to improve their care and reduce risks like amputation.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | April 1, 2021 |
| Project end | March 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $354,150 |
| NIH project number | 5R01HL151351-05 |
| Project ID | NIH-11045010 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with both peripheral artery disease and chronic kidney disease.
✕Less likely to help
Patients without chronic kidney disease or those who do not have peripheral artery disease may not benefit from this research.
What this research studies
This research investigates how big data can be utilized to identify effective treatments for peripheral artery disease (PAD) in patients who also have chronic kidney disease (CKD). It aims to analyze a vast database of health records to understand the unique challenges faced by CKD patients with PAD, who are often at a higher risk for complications like amputation. By developing innovative algorithms, the research seeks to improve the identification and treatment of PAD in this vulnerable population, ultimately enhancing patient care. The study will also explore the use of natural language processing to better extract relevant health information from electronic health records.
Why it matters
Potential benefit: If successful, this research could lead to improved treatment options and outcomes for patients suffering from both peripheral artery disease and chronic kidney disease.
How similar studies have gone: Other research has shown promise in using big data analytics for improving treatment strategies in chronic diseases, indicating potential success for this approach.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Chang, Tara I-Hsin — Stanford University
- Study coordinator: Chang, Tara I-Hsin
Related research
Other NIH-funded projects on the same topics.
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Better Ways to Find Peripheral Artery Disease in People with Kidney Disease
This research aims to find more accurate ways to diagnose peripheral artery disease, a condition affecting blood flow to the limbs, in people who also have chronic kidney disease.
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Improving diagnosis of peripheral artery disease in patients with chronic kidney disease
This study is looking to improve how we diagnose peripheral artery disease (PAD) in people who also have chronic kidney disease (CKD), by testing new ways to measure blood flow that might work better for them.
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Personalized CKD-MBD care using systems biology and AI
A patient-facing program aims to tailor mineral-balance therapy for people with chronic kidney disease by using a computer model and smart decision rules to predict who will respond best to treatments.
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Mitigating DKA in people with type 1 diabetes and kidney disease using SGLT1/2 inhibitors
This project tests a new way to prevent dangerous diabetic ketoacidosis in people with type 1 diabetes and chronic kidney disease who are using SGLT inhibitors, by tracking ketones in real time and combining glucose-keton data for safer therapy.
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Chronic Kidney Disease in Children: following young people as they grow up with CKD
A long-term study in kids with chronic kidney disease tracks kidney function and heart health as they transition into adulthood.
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Chronic Kidney Disease in Children follow-up study
A long-term study that follows kids with kidney disease as they grow into young adults, collecting health data from home and official records.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.